Machine Learning

Webtunix Blog

Machine learning is the field of computer science which makes computer able to learn without being explicitly programmed. It is the part of Artificial Intelligence used to make algorithms which are responsible for making predictions on data. In this process algorithms finds the pattern in dataset and system is adjusted according to pattern which gives result in a better way. These technologies are nowadays used by many companies of Artificial Intelligence in India.

Whole process involves preprocessing, learning, evaluation and prediction. Algorithms of machine learning can be supervised or unsupervised. In this Machine Learning Blog, you will know the concept of Machine Learning and Artificial Intelligence in India .

Supervised learning algorithms are those in which we have a target value respective to the input. In supervised learning a result is concluded from labelled data. i.e. data is known to system. With supervised learning, data is separated into two groups: train and test datasets. The train dataset is used to train the model. Classification and regression are examples of supervised learning. Where classification is used to classify the types of input and regression is used to give a continuous value to the output.

In opposite to supervised learning, unsupervised learning gives result on the basis of dataset which are not familiar to our model. Data in unsupervised learning is not labelled. Also unsupervised algorithms make clusters of data and this process is called cluster analysis.

Unsupervised algorithms are used in genetic clustering, pattern matching and image segmentation. There are many Machine Learning companies which provide training in Machine Learning and Artificial Intelligence. Machine learning is a growing field in this digital world so the demand of Artificial Intelligence and Machine Learning is increasing. Thus many Machine Learning company in India are providing offline as well as online training in Python and Machine Learning.

Benefits of Machine Learning :

After development of algorithms in Machine Learning there are some advantages of Machine Learning to notice:

  • Model has become more relevant due to the iteration process which delivers the higher level of accuracy and allow us to find the best fit data.
  • It automatically apply complex mathematical calculations over and over, faster and faster which gives better results and automatically apply those results to decision making and actions.
  • Allow high-value predictions that provide better decisions and smart actions in real time without human intervention.
  • Machine Learning is basically understanding of data and statistics to pedict outcome, thus used in prediction of financial stocks leading many buisness companies to gain profit.